Use of nearest neighbors (k–nn) algorithm in tool condition identification in the case of drilling in melamine faced particleboard by Albina Jegorowa, Jarosław Górski, Jarosław Kurek, Michał Kruk

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Explainable AI (XAI) Techniques for Convolutional Neural Network-Based Classification of Drilled Holes in Melamine Faced Chipboard by Alexander Sieradzki, Jakub Bednarek, Albina Jegorowa, Jarosław Kurek

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Custom Loss Functions in XGBoost Algorithm for Enhanced Critical Error Mitigation in Drill-Wear Analysis of Melamine-Faced Chipboard by Michał Bukowski, Jarosław Kurek, Bartosz Świderski, Albina Jegorowa

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Decision Confidence Assessment in Multi-Class Classification by Michał Bukowski, Jarosław Kurek, Izabella Antoniuk, Albina Jegorowa

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Application of Siamese Networks to the Recognition of the Drill Wear State Based on Images of Drilled Holes by Jarosław Kurek, Izabella Antoniuk, Bartosz Świderski, Albina Jegorowa, Michał Bukowski

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Advanced Feature Extraction Methods from Images of Drillings in Melamine Faced Chipboard for Automatic Diagnosis of Drill Wear by Izabella Antoniuk, Jarosław Kurek, Artur Krupa, Grzegorz Wieczorek, Michał Bukowski, Michał Kruk, Albina Jegorowa

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Multiclass Image Classification Using GANs and CNN Based on Holes Drilled in Laminated Chipboard by Grzegorz Wieczorek, Marcin Chlebus, Janusz Gajda, Katarzyna Chyrowicz, Kamila Kontna, Michał Korycki, Albina Jegorowa, Michał Kruk

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